Fake video detection using facial color

Hadas Shahar, Hagit Hel-Or

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


The field of image forgery is widely studied, and with the recent introduction of deep networks based image synthesis, detection of fake image sequences has increased the challenge. Specifically, detecting spoofing attacks is of grave importance. In this study we exploit the minute changes in facial color of human faces in videos to determine real from fake videos. Even when idle, human skin color changes with sub-dermal blood flow, these changes are enhanced under stress and emotion.

Original languageEnglish
Title of host publication28th Color and Imaging Conference 2020, CIC 2020
PublisherSociety for Imaging Science and Technology
Number of pages6
ISBN (Electronic)9781713826972
StatePublished - 2020
Event28th Color and Imaging Conference 2020, CIC 2020 - Virtual, Online
Duration: 4 Nov 202019 Nov 2020

Publication series

NameFinal Program and Proceedings - IS and T/SID Color Imaging Conference
ISSN (Print)2166-9635
ISSN (Electronic)2169-2629


Conference28th Color and Imaging Conference 2020, CIC 2020
CityVirtual, Online

Bibliographical note

Publisher Copyright:
© 2020 Society for Imaging Science and Technology.

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics


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